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Demo of a non-trivial application of video analytics, to compute automated ball possession statistics by team in a soccer (or football) match. We are using a sample match of Chelsea vs Manchester City.
It’s built with a YOLOv5 detector (players & ball) and Norfair, our open-source multi-object tracking library for tracking objects and drawing their paths.
The possession is computed by counting the total time that each team has the ball. A counter is initialized when a team first has the ball and resets when the ball is taken by the opposite team.
Tryolabs is an AI & Machine Learning consulting company that provides critical expertise to transform business by building and deploying AI-powered solutions. We see ourselves as an AI-transformation partner, helping companies navigate during all the stages of the journey.
For more information:
– Blog post: https://tryolabs.com/blog/2022/10/17/measuring-soccer-ball-possession-ai-video-analytics
– Source code: https://github.com/tryolabs/soccer-video-analytics
– Tracking library: https://github.com/tryolabs/norfair
Video Rating: / 5
How I canβt do it
Thank youβ€β€β€β€
You make it look so easy
Its look easy but it is hard
Helppp
Step 1:β°π
Step 2:βοΈ
he practice a lot you know when you practice a lot you get better and better try it itβs trueππ
oh yeah bro so easy
π’
VocΓͺ tem um controle de bola impressionante
Γ o braza nΓ£o tem jeito
Passin do bruxo
Step one:π
Step two:π’π
where did you get the ball from because it's nice
Do this in a real match,in a real competitionπ€£π€£
This is equivalent to those kid drawings where first you draw a circle then after step 2 its like drawing an entire city full detail
Nice Skillβ€β€β€
Step 0: Has Brazilian genetics
When u realise BL is nothing in front of real football
when your brother is Neymar:
Thank you for sharing this.